Llama 4 Scout 17B 16E needs ~74.2 GB but MacBook Pro M4 Max 36GB only has 25.9 GB. Try a smaller quantization or lighter model.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
48.3 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
4.4 tok/s
TTFT
43557 ms
Safe context
4K
Memory
74.2 GB / 25.9 GB
Offload
70%
Usable shared or unified memory is the main blocker for this model.
Not enough usable memory
The model needs 74.2 GB, but this setup only exposes 25.9 GB of usable shared or unified memory.
Move to a larger memory pool
A larger unified-memory SKU or a discrete high-bandwidth GPU is the cleanest way to make this model practical.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | F | Too heavy | 4.4 tok/s | 23758 ms | 4K |
| Coding | F | Too heavy | 4.1 tok/s | 47041 ms | 4K |
| Agentic Coding | F | Too heavy | 4.4 tok/s | 63355 ms | 4K |
| Reasoning | F | Too heavy | 4.4 tok/s | 51476 ms | 4K |
| RAG | F | Too heavy | 4.4 tok/s | 79194 ms | 4K |
How Llama 4 Scout 17B 16E (109B params) fits at each quantization level on MacBook Pro M4 Max 36GB (25.9 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 42.5 GB | Low | F0 |
Q3_K_S | 3 | 53.4 GB | Low | F0 |
NVFP4 | 4 | 61.0 GB | Medium | F0 |
Q4_K_M | 4 | 66.5 GB | Medium | F0 |
Q5_K_M | 5 | 78.5 GB | High | F0 |
Q6_K | 6 | 89.4 GB | High | F0 |
Q8_0 | 8 | 116.6 GB | Very High | F0 |
F16 | 16 | 223.5 GB | Maximum | F0 |
Opciones de mejora
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$2,499 MSRP
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Sube la velocidad estimada de decodificación alrededor de un 136%.
~$2,499 MSRP
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Sube la velocidad estimada de decodificación alrededor de un 59%.
~$3,199 MSRP
Hace que el modelo quepa en el acelerador en lugar de seguir fuera de alcance.
Elimina el offload a memoria del sistema, que suele ser la mayor mejora individual en latencia y throughput.
~$15,000 MSRP
No, Llama 4 Scout 17B 16E requires more memory than MacBook Pro M4 Max 36GB provides.
Llama 4 Scout 17B 16E (109B parameters) requires approximately 74.2 GB of memory with Q4_K_M quantization.
The recommended quantization for Llama 4 Scout 17B 16E is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Max 36GB, Llama 4 Scout 17B 16E achieves approximately 4.1 tokens per second decode speed with a time-to-first-token of 47041ms using Q4_K_M quantization.
For coding workloads, Llama 4 Scout 17B 16E on MacBook Pro M4 Max 36GB receives a F grade with 4.1 tok/s and 4K context.
On MacBook Pro M4 Max 36GB, Llama 4 Scout 17B 16E can safely use up to 4K tokens of context. The model's official context limit is 10.5M, but available memory constrains the safe maximum.
Move to a larger memory pool. A larger unified-memory SKU or a discrete high-bandwidth GPU is the cleanest way to make this model practical.
Not always. MacBook Pro M4 Max 36GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
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